Research Scientist II – Fraud

🕒 June 27

🇺🇸 United States – Remote

💵 $160k - $185k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pindrop

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

🛡️ Insurance

💼 Consulting

🏥 Healthcare

Insurance • Consulting • Healthcare

Pindrop is a leader in voice authentication and fraud detection, offering innovative solutions to enhance the security of voice communications. The company uses advanced technologies such as liveness detection, behavioral analysis, and voice biometrics to combat threats like deepfakes and spoofing in various sectors including banking, finance, insurance, and retail. Pindrop integrates with platforms like Five9 to provide multifactor authentication, ensuring both the protection of sensitive information and a seamless user experience. With a focus on securing call centers and smart devices, Pindrop helps businesses prevent fraud and improve customer interactions by leveraging cutting-edge audio, voice, and AI technologies. Their solutions are trusted by some of the largest financial institutions and insurance companies around the world.

📋 Description

• Build and improve fraud risk models and scoring systems using audio, behavioral, and metadata-based signals • Analyze fraud patterns across customer environments and translate findings into improvements in model performance, investigation workflows, or mitigation strategies • Research and build a scam detection stack from conception to realization • Partner with engineering and cross-functional teams to move successful research into production • Support high-priority fraud investigations by analyzing system behavior, fraudster attack patterns, and detection gaps • Recommend practical next steps for customers • Improve fraud-related identity signals, including voice-based indicators and repeat-offender detection • Design and maintain reproducible research workflows, internal tools, and evaluation pipelines • Contribute to technical reviews, knowledge sharing, and research documentation • Contribute to AI-assisted fraud-analysis workflows when relevant to team priorities

🎯 Requirements

• Advanced Degree (Master’s or PhD) in Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, or a related quantitative field, or equivalent applied research experience • 3+ years of professional experience in machine learning, large-language models, fraud detection, natural language processing, risk modeling, speech or signal processing, anomaly detection, or a closely related domain • Strong Python skills and experience building research tooling, experimentation frameworks, or model evaluation workflows • Hands-on experience with modern machine learning frameworks such as PyTorch, TensorFlow, or Keras • Track record of translating research findings into practical improvements in models, decision systems, or production-facing recommendations • Foundational knowledge of fraud, identity, consumer scams, authentication, risk scoring, or customer security concepts

🏖️ Benefits

• Competitive compensation package, including RSUs (Restricted Stock Units) for all employees • Remote-first environment with flexibility and autonomy • Regular team on-sites, company-wide events, and intentional gatherings • Unlimited Paid Time Off (PTO) • Generous health and welfare plans, including one employer-paid employee-only plan • Best-in-class Health Savings Account (HSA) employer contribution • Low-cost vision and dental plans for employees and families • Paid Parental Leave for birth, adoptive, and foster parents • One year of diaper delivery for a newest family addition • Recurring monthly phone and internet allowance • Enhanced fertility and GLP-1 benefits • Annual Learning & Development stipend for professional growth, skill-building, certifications, and continued education